Concern 257 · Working draft · editorial review in progress
Emergent collusion
Emergent collusion occurs when interacting agents develop behavior that benefits their group at other people's expense without an explicit agreement to do so.
Understanding the concern
Agents can adapt to one another's choices over repeated interactions. Under some incentives, they may learn patterns resembling cooperation even when no direct message tells them to coordinate. The resulting behavior can differ from what each designer expected when testing one agent alone.
Parallel behavior is not automatically collusion, and coordination can be beneficial. The concern is coordinated effects that undermine competition, fairness, or the interests of outsiders. Evidence from simplified experiments needs careful checking before being applied to real markets or institutions.
An example
Several automated sellers learn to avoid undercutting one another, leaving customers with fewer genuinely competitive offers.
Illustrative unless identified as a documented case.
Words in plain English
- Agent
- An AI system that can choose and carry out several steps toward a goal, using the tools and access people give it.
- Emergent
- Behavior that appears as a system changes or grows. The label alone does not explain why it happened or prove it was impossible to predict.
Evidence and its limits
Pricing experiments demonstrate tacit coordination in a modeled market; the report broadens the risk framework without establishing prevalence.
Calvano and colleagues · American Economic Review 2020 · Experimental economic research
Artificial Intelligence, Algorithmic Pricing, and Collusion ↗ (opens in a new tab)Studies Q-learning in a repeated oligopoly model; simulation findings do not prove legal collusion in a specific market.
Hammond and colleagues · Cooperative AI Foundation 2025 · Research risk framework
Multi-Agent Risks from Advanced AI ↗ (opens in a new tab)Distinguishes miscoordination, conflict and collusion with examples and research; proposed scenarios are not all observed incidents.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
A question to discuss
Do repeated interactions produce outcomes that help the agents while harming people outside their group?
Keep track of different views, what needs checking, and any next step in your own discussion notes.
Open discussion notes →Principles for the conversation
Before you finish · reflect together
Virtues and principles to consider
Virtues are qualities we practice in how we treat people and make choices. They are not scores for judging someone. Use these ideas to explore what a thoughtful response could look like.
Prudence
Prudence means using careful judgment before and during action. It balances worthwhile opportunities with the need to avoid harm that could have been anticipated.
Start with a limited trial, set stopping points, and prefer choices that can be undone when uncertainty is high. Review what happens rather than assuming the original plan remains sound.
Ask together: What is a careful next step, and when should we stop or change course?
Humility
Humility means recognizing the limits of our knowledge and being willing to learn from others. Expertise can be valuable without answering every question.
State where evidence is weak, invite criticism, and listen to people with different experience. Leave room to revise a decision when new information appears.
Ask together: What might we be missing, and who could help us see it?
Stewardship
Stewardship means caring for resources and systems that others depend on, including people who will use them later. It looks beyond the benefit of a quick launch.
Plan for maintenance, energy use, data protection, and eventual shutdown. Ask who will look after the tool when the original team moves on and how future users can avoid inheriting hidden costs.
Ask together: What are we responsible for caring for over time?
Editorial ratings
These are editorial judgments from the register, not measured probabilities or predictions about your situation.
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